Pre- and Post-conference Workshops Schedule

Workshops remain under development and more information will be added




Transcranial Direct Current Stimulation (tDCS): Advanced Theory and Hands-on Workshop
Thursday, July 28, 2022 | 8 AM - 4 PM
Directors: Adam J Woods, PhD, Helena Knotkova, PhD, Marom Bikson, PhD

Target Audience: This course is designed for clinicians and researchers in disciplines related to neurostimulation (such as medicine, nursing, neuroscience, bioengineering), and personnel involved in tDCS research and treatment.

Scope

This intensive one-day international workshop is dedicated to the design and implementation of tDCS in clinical and research settings. It provides an update on 2018 state-of-the-art comprehensive theoretical background and methodology, with presentations and discussions on the development of professional standards for safety, validity and reproducibility of functional outcomes in tDCS applications, as well as practical experience necessary to acquire the knowledge and skills for tDCS applications. This tDCS Advanced Theory and Hands-on Workshop distinguishes itself from other tDCS educational initiatives by offering extensive practical experience and an in-depth learning approach, including interactive lectures, facilitated discussion, demonstrations, hands-on step-by-step exercises. The Workshop utilizes versatile educational elements from the basic to expert level and covers the complex framework from neurophysiological research to clinical applications. It is expected that even individuals highly experienced in tDCS will benefit from the advanced and comprehensive training in the state-of-the-art technique. The Workshop promotes expertise in the field of noninvasive brain stimulation and focuses on building competencies in the following areas: Principles and mechanisms of tDCS, electrode preparation and montages, stimulation parameters, protocols and targeted outcomes, safety, tDCS current modeling and dose determination, good practices in tDCS delivery, tDCS clinical and research trial design and implementation, with specific methodologic considerations for HD-tDCS and conventional tDCS in institutional and home-based settings. Education and training will be provided by a seasoned highly experienced team. Previous practical experience with tDCS not required.

7:30 - 8:00 AM Registration Opens (Breakfast Served)
8:00 - 8:30 AM Introductory remarks
08:30 - 10:30 AM tDCS course Unit I: Theory and design
Adam J Woods PhD, Helena Knotkova PhD, Marom Bikson PhD
Module 1: tDCS – Principles and mechanisms
Module 2: Targeted outcomes
10:30 - 10:45 AM Coffee Break
10:45 - 12:00 PM tDCS course Unit I: Theory and design
Adam J Woods PhD, Helena Knotkova PhD, Marom Bikson PhD
Module 3: Stimulation parameters and protocols
Module 4: Electrodes/montages
12:00 - 1:00 PM Lunch
1:00 - 2:00 PM tDCS course Unit I: Theory and design
Adam J Woods PhD, Marom Bikson PhD Module 5: Safety
2:00 - 4:00 PM tDCS course Unit II: Clinical implementation & practical exercises
Adam J Woods PhD, Helena Knotkova PhD, Marom Bikson PhD
Station 1: Electrode Measurement Procedures
Station 2: Electrode Preparation and Placement
Station 3: Conventional and HD-tDCS Devices
Station 4: tDCS Practical Knowledge Exercises
4:00 - 4:30 PM tDCS course Unit III: Professional standards and recap
Helena Knotkova PhD
4:30 - 5:00 PM Closing remarks, workshop survey & certification of completion





EEG Workshop: Data collection, preprocessing, analysis
Thuersday, July 28, 2022 | 1-4 PM
Directors: Simon Ladouce PhD, Adrian Curtin PhD, Hasan Ayaz PhD, Frederic Dehais PhD

Scope

Electroencephalogram (EEG) is a noninvasive and wearable brain-monitoring technology that captures cortical potential changes to monitor neural activity and associated mental states, cognitive and affective. New ultra-mobile EEG systems are enabling out of lab brain activity measurements in increasingly realistic settings such as car driving, plane piloting and walking outdoors.
This one-day workshop is focused on introducing EEG, its physiological and physical principles, data collection and signal processing techniques as well as data analysis procedures. There will be both theory lectures as well hands-on practical sessions. The tutorial is aimed to get researchers started on EEG and designed for both beginner and intermediate researchers.



A primer on machine learning for physiological signals
Thursday, July 28, 2022 | 1-4 PM
Directors: Jacek Dmochowski, PhD

Target Audience: This course is designed for researchers with basic programming or signal processing background interested in a broad introduction to mechanic leaning in brain science.


Scope

This short course provides a broad overview of machine learning and pattern recognition, with an emphasis on techniques that are commonly used in practice to make inferences from biomedical data sets. The course begins with a summary of probability theory and random variables. We will then survey a variety of supervised and unsupervised architectures, beginning with linear and logistic regression and ending up at modern-day techniques such as convolutional neural networks. Attendees are presented concepts via application to real-world data sets from a variety of domains. The course assumes a basic knowledge of linear algebra and probability theory.



Transcranial Magnetic Stimulation (TMS) in Neuroscience and Clinical Practice: Hands-on Workshop
Monday, August 1, 2022 | 08:00 AM - 12:00 PM
Directors: Bashar Badran PhD, Eleanor Cole PhD

Target Audience: This course is designed for clinicians and researchers, and other personnel involved in TMS research and treatment, who are interested in a general introduction or primer to TMS theory and practice.


Scope

This workshop provides an overview of the principles and state-of-the-art applications of transcranial magnetic stimulation (TMS). TMS is FDA-cleared for the treatment of major depression, migraine, and pre-surgical cortical mapping, and is widely used in basic and translational neuroscience research. Leading TMS experts including from Massachusetts General Hospital/Harvard Medical School will lecture on topics including device principles and types; comparison of features of the various FDA approved devices; description of the parameter space and the mechanisms of action; the neuroscience of TMS; research applications including multimodal combinations with MRI and EEG; clinical applications; principles of stimulus dosing; risks and contraindications; safety screening; regulations; and practical discussion on device use, experimental design and clinical management. There will be plenty of opportunities for formal and informal discussion with course faculty. The lectures will be followed by a hands-on training session to learn key TMS procedures such as motor threshold determination and coil targeting using neuronavigation. The hands-on session will comprise learning stations with different TMS devices and practical instruction with high instructor-to-participant number ratio. The workshop will be capped by an hour long discussion, questions, and answers session that will provide opportunity for addressing additional topics of interest to the participants.

7:30 - 8:00 AM Registration Opens (Breakfast Served)
8:00 - 8:05 AM TMS Basic Principles, Devices & Dose
8:05 - 9:00 AM TMS parameters and mechanism of action
9:00 - 10:00 AM Research Applications
10:00 - 10:30 AM Clinical Applications: Diagnostic
10:30 - 11:00 AM Clinical Applications: Therapeutic
11:00 - 11:30 AM TMS Tolerability & Safety Management, Regulations, Policies and Practical Considerations
11:30 - 12:00 PM Demos & practice: Motor threshold determination, diagnostic protocols, coil placement with and without neuronavigation




Real-time and close-loop EEG processing with the open-source OpenViBE platform: hands-on workshop
Monday, August 1, 2022 | 12-4 PM
Directors: Fabien Lotte PhD, Sébastien Rimbert PhD, Thomas Prampart PhD, Laurent Bougrain PhD

Scope

In many Neuroergonomics applications, such as Brain-Computer Interfaces (BCI) or NeuroFeedback (NF)-based systems, there is a need for real-time decoding of brain signals such as ElectroEncephaloGraphy (EEG). Such real-time decoding is then typically used to design closed-loop systems, e.g., to send mental commands to a computer application (e.g., active or reactive BCIs), to adapt an ongoing interaction to the users’ mental states (passive BCIs), or to provide feedback to users on their ongoing brain activity so that they can learn to regulate it (neurofeedback). While very useful and promising, designing closed-loop systems based on real-time decoding of brain signals is something that can be difficult, tedious and time consuming to do from scratch.
In this hands-on workshop, we aim at showing that this task can be made substantially easier with appropriate tools. In particular, we aim at teaching our audience how to design closed-loop EEG decoding systems thanks to the free and open-source OpenViBE platform. OpenViBE indeed enables real-time acquisition, processing and visualization of brain signals (notably EEG), without the need for any programming, simply by visually assembling modules. It is also modular and can be extended with new functionalities using either C++, Matlab or Python programming. In these hands-on sessions, the audience will get to learn how to use OpenViBE to acquire, filter, visualize or decode EEG signals in real-time and use such decoding to interact with various applications.



Functional Near Infrared Spectroscopy Workshop: Data collection, preprocessing, analysis
Monday, August 1, 2022 | 1-4 PM
Directors: Adrian Curtin, Frederic Dehais, & Hasan Ayaz

Scope

Functional near-infrared spectroscopy (fNIRS), a noninvasive brain-monitoring technology relies on optical techniques to detect changes of cortical hemodynamic responses to human perceptual, cognitive, and motor functioning, is an increasingly popular neuroergonomics tool.
This one-day workshop is focused on introducing functional near infrared spectroscopy optical brain monitoring, its physiological and physical principles, data collection and signal processing techniques as well as data analysis procedures. There will be both theory lectures as well hands-on practical sessions. The tutorial is aimed to get researchers started on fNIRS and designed for both beginner and intermediate researchers.

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